A cyber - attack may happen anytime in today's world. Big data and predictive analytics help in cyber defense and convert data into actionable intelligence. Predictive indicators can identify new risks and assist in security. They can go undetected. Predictive analytics can detect these unusual data, including hidden data. By finding these unusual patterns, predictive analytics help to reduce a company's overall risk. With predictive analytics, risks are evaluated and ranked in importance. Managing the predictive analytics process requires an organization to handle the false positives and false negatives that are generated during the threat surveillance process and it cannot be too restrictive as it will block logical traffic, which can lead to a reduction in profit or customer service. It depends on how a person is using it to get the best results. Read more at:

http://www.information-management.com/news/big-data-analytics/using-predictive-analytics-to-identify-cyber-security-risks-10028270-1.html